| Issue |
EPJ Web Conf.
Volume 338, 2025
ANIMMA 2025 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 3 | |
| Section | Nuclear Safeguards, Homeland Security and CBRN | |
| DOI | https://doi.org/10.1051/epjconf/202533806001 | |
| Published online | 06 November 2025 | |
https://doi.org/10.1051/epjconf/202533806001
Combined peak searching and machine learning algorithm for identification of radionuclides
Polimaster Europe, Lithuania
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Published online: 6 November 2025
Abstract
There are two main kinds of methods of radionuclides identification: peak searching (peak fitting) and machine learning (processing spectrum at once). In this work we present an identification method that combines peak searching and machine learning. As a peak searching routine convolution with the second derivative of Gauss function is used. For the machine learning part different algorithms were tested and MLPClassifier algorithm was selected. This identification method was trained using 540 real spectra and tested with 580 real spectra. As a result, all identifications were correct.
Key words: radionuclides identification / peaks fitting / machine learning
© The Authors, published by EDP Sciences, 2025
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